Get our free extension to see links to code for papers anywhere online!

Chrome logo  Add to Chrome

Firefox logo Add to Firefox
Picture for Stephanie Hyland

Stephanie Hyland
Alert button

Learning to Exploit Temporal Structure for Biomedical Vision-Language Processing


Jan 11, 2023
Shruthi Bannur, Stephanie Hyland, Qianchu Liu, Fernando Perez-Garcia, Maximilian Ilse, Daniel C. Castro, Benedikt Boecking, Harshita Sharma, Kenza Bouzid, Anja Thieme, Anton Schwaighofer, Maria Wetscherek, Matthew P. Lungren, Aditya Nori, Javier Alvarez-Valle, Ozan Oktay

Add code
Alert button

Figure 1 for Learning to Exploit Temporal Structure for Biomedical Vision-Language Processing
Figure 2 for Learning to Exploit Temporal Structure for Biomedical Vision-Language Processing
Figure 3 for Learning to Exploit Temporal Structure for Biomedical Vision-Language Processing
Figure 4 for Learning to Exploit Temporal Structure for Biomedical Vision-Language Processing
* Currently under peer-review 
   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Making the Most of Text Semantics to Improve Biomedical Vision--Language Processing


Apr 21, 2022
Benedikt Boecking, Naoto Usuyama, Shruthi Bannur, Daniel C. Castro, Anton Schwaighofer, Stephanie Hyland, Maria Wetscherek, Tristan Naumann, Aditya Nori, Javier Alvarez-Valle, Hoifung Poon, Ozan Oktay

Add code
Alert button

Figure 1 for Making the Most of Text Semantics to Improve Biomedical Vision--Language Processing
Figure 2 for Making the Most of Text Semantics to Improve Biomedical Vision--Language Processing
Figure 3 for Making the Most of Text Semantics to Improve Biomedical Vision--Language Processing
Figure 4 for Making the Most of Text Semantics to Improve Biomedical Vision--Language Processing

   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Predicting the impact of treatments over time with uncertainty aware neural differential equations


Feb 24, 2022
Edward De Brouwer, Javier González Hernández, Stephanie Hyland

Add code
Alert button

Figure 1 for Predicting the impact of treatments over time with uncertainty aware neural differential equations
Figure 2 for Predicting the impact of treatments over time with uncertainty aware neural differential equations
Figure 3 for Predicting the impact of treatments over time with uncertainty aware neural differential equations
Figure 4 for Predicting the impact of treatments over time with uncertainty aware neural differential equations
* AISTATS 2022 
   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Temporal Pointwise Convolutional Networks for Length of Stay Prediction in the Intensive Care Unit


Jul 18, 2020
Emma Rocheteau, Pietro Liò, Stephanie Hyland

Add code
Alert button

Figure 1 for Temporal Pointwise Convolutional Networks for Length of Stay Prediction in the Intensive Care Unit
Figure 2 for Temporal Pointwise Convolutional Networks for Length of Stay Prediction in the Intensive Care Unit
Figure 3 for Temporal Pointwise Convolutional Networks for Length of Stay Prediction in the Intensive Care Unit
Figure 4 for Temporal Pointwise Convolutional Networks for Length of Stay Prediction in the Intensive Care Unit
* arXiv admin note: substantial text overlap with arXiv:2006.16109 
   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Predicting Length of Stay in the Intensive Care Unit with Temporal Pointwise Convolutional Networks


Jun 29, 2020
Emma Rocheteau, Pietro Liò, Stephanie Hyland

Add code
Alert button

Figure 1 for Predicting Length of Stay in the Intensive Care Unit with Temporal Pointwise Convolutional Networks
Figure 2 for Predicting Length of Stay in the Intensive Care Unit with Temporal Pointwise Convolutional Networks
Figure 3 for Predicting Length of Stay in the Intensive Care Unit with Temporal Pointwise Convolutional Networks
Figure 4 for Predicting Length of Stay in the Intensive Care Unit with Temporal Pointwise Convolutional Networks
* 4 pages, HSYS2020 proceedings 
   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email